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Record W1994565307 · doi:10.1002/cjce.20435

CFD simulation of dischargers' dilution‐zone in high consistency bleaching tower

2010· article· en· W1994565307 on OpenAlexvenueaboutno aff
Jinsong Zeng, K. F. Chen, Xutian Chai, Jianchao Li

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsnot available
Fundersnot available
KeywordsComputational fluid dynamicsTurbulenceMechanicsDilutionPhysicsThermodynamics

Abstract

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Abstract In this work, the pulp flow behaviour for the dilution‐zone of two rotary dischargers, that is, S‐type and straight‐type discharger, were simulated by computational fluid dynamics (CFD). The time‐accurate transient simulations of two rotary dischargers were based on the standard k – ε turbulence model in conjunction with the granular Eulerian multiphase model and Sliding‐grid (SG) algorithm technique in FLUENT, so that the key parameters for evaluating the discharger performance, that is, the volume fraction of pulp, vectors of instantaneous water velocity, and turbulent kinetic energy of water in the given systems were calculated. The results from the simulations proved that the S‐type discharger was better than the straight one in pulp mixing and discharging. For the given S‐type discharger system, a higher revolution speed would lead to a smaller volume fraction thus makes pulp discharging much easier. The comparison results of the experiment data measured by particle image velocimetry (PIV) and CFD simulations verified that Eulerian and standard k – ε turbulence models could provide a better description for the flow patterns in the dilution‐zone. Dans ce travail, le comportement de l'écoulement de pâtes pour la zone de dilution de deux déchargeurs rotatifs, c'est‐à‐dire un déchargeur de type S et un déchargeur droit, a été simulé par dynamique des fluides numérique (CFD). Les simulations transitoires à moments précis de deux déchargeurs rotatifs étaient basées sur le modèle standard de turbulence k – ε , en conjonction avec le modèle multiphase eulérien granulaire et la technique d'algorithme à grille coulissante dans FLUENT, de telle façon que les paramètres clés pour l'évaluation du rendement des déchargeurs, c'est‐à‐dire la fraction de volume de pâte, les vecteurs de vélocité instantanée de l'eau et l'énergie cinétique turbulente de l'eau dans les systèmes considérés ont pu être calculés. Les résultats des simulations ont prouvé que le déchargeur de type S était meilleur que le déchargeur droit pour le mélange et le déchargement des pâtes. Pour le déchargeur de type S donné, une vitesse de rotation supérieure entraînait une fraction de volume inférieure, ce qui rend la décharge des pates bien plus facile. Les résultats de comparaison des données d'expérience mesurées par vélocimétrie d'images multiples de particules (VIPV) et simulations CFD simulations permettaient de vérifier que le modèle eulérien et le modèle standard de turbulence k – ε pouvaient donner une meilleure description des modèles d'écoulement dans la zone de dilution. © 2010 Canadian Society for Chemical Engineering

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.177
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2010
Admission routes2
Has abstractyes

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